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Microphysiological pancreas-on-chip platform with integrated sensors to model endocrine function and metabolism.

Authors :
Schlünder, Katharina
Cipriano, Madalena
Zbinden, Aline
Fuchs, Stefanie
Mayr, Torsten
Schenke-Layland, Katja
Loskill, Peter
Source :
Lab on a Chip; 4/7/2024, Vol. 24 Issue 7, p2080-2093, 14p
Publication Year :
2024

Abstract

Pancreatic in vitro research is of major importance to advance mechanistic understanding and development of treatment options for diseases such as diabetes mellitus. We present a thermoplastic-based microphysiological system aiming to model the complex microphysiological structure and function of the endocrine pancreas with concurrent real-time read-out capabilities. The specifically tailored platform enables self-guided trapping of single islets at defined locations: β-cells are assembled to pseudo-islets and injected into the tissue chamber using hydrostatic pressure-driven flow. The pseudo-islets can further be embedded in an ECM-like hydrogel mimicking the native microenvironment of pancreatic islets in vivo. Non-invasive real-time monitoring of the oxygen levels on-chip is realized by the integration of luminescence-based optical sensors to the platform. To monitor insulin secretion kinetics in response to glucose stimulation in a time-resolved manner, an automated cycling of different glucose conditions is implemented. The model's response to glucose stimulation can be monitored via offline analysis of insulin secretion and via specific changes in oxygen consumption due to higher metabolic activity of pseudo-islets at high glucose levels. To demonstrate applicability for drug testing, the effects of antidiabetic medications are assessed and changes in dynamic insulin secretion are observed in line with the respective mechanism of action. Finally, by integrating human pancreatic islet microtissues, we highlight the flexibility of the platform and demonstrate the preservation of long-term functionality of human endocrine pancreatic tissue. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14730197
Volume :
24
Issue :
7
Database :
Complementary Index
Journal :
Lab on a Chip
Publication Type :
Academic Journal
Accession number :
176248905
Full Text :
https://doi.org/10.1039/d3lc00838j